| Does event sourcing outgrows databases? In real world applications multiple concurrent users are updating records in the data store and often data is not updated in all places. This results in inconsistency across data stores. There is no mechanism to store the metadata of history of changes which can be used for in-depth analysis. Event sourcing also provides context to the change happening in the database which helps in answering the business questions. Event sourcing works better with microservices and is reliable to share data between other services. Here’re a few advantages that make event sourcing a better choice than traditional databases: 1.Events can be saved using an append-only operation and are immutable. Tasks that deal with events can run in the background while the user interface, workflow, or process that started them can continue. This, along with the absence of conflict during transaction processing, can greatly enhance the performance and scalability of an application, particularly at the presentation level or user interface. 2.Events are straightforward objects that explain an action that took place together with any additional information needed to fully describe the action that the event represents. A data store is not directly updated by events. They are merely recorded for handling when necessary. This can make administration and implementation simpler. 3.For a domain expert, events often have meaning. However, object-relational impedance mismatch might make it challenging to comprehend complicated database tables. Tables are made up objects that depict the system’s current condition rather than actual events. 4.Because event sourcing does not require updating data store objects directly, it can assist prevent conflicts caused by concurrent modifications. The domain model must still be built to withstand queries that can cause an inconsistent state, though. 5.Tasks respond to events by performing actions as they are raised by the event source db. 6.The jobs and events are separated, which offers flexibility and extensibility. Tasks are aware of the type of event that occurred and its data, but not the operation that caused it. Additionally, each event can be handled by numerous tasks. This makes it possible to integrate additional services and systems that are limited to monitoring new events raised by the event source db with ease. The event sourcing events, however, frequently have a very low level, thus it would be essential to create particular integration events in their place. |